Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive and openWorld, so the safety profile is covered. The description adds real value beyond that by disclosing the return shape (titles, dates, canonical URLs) and the citation expectation, though it omits the result cap (limit max 25) and anything about result ordering beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler, with the scope and content taxonomy front-loaded and the citation instruction last. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a three-parameter, zero-required search tool with annotations and an inline summary of return fields, this is close to complete. A brief pointer to get_insight_article for full article bodies and a note on the 25-result ceiling would close the remaining gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67% with self-evident names; query and section carry their own descriptions and the section enum is enumerated in the schema. The description adds no meaning beyond that, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Search') and resource ('CloudJobs articles and market reports'), then enumerates the content families covered (evergreen guides, weekly/monthly analyses, basics explainers). By saying it returns titles, dates and canonical URLs, it implicitly separates itself from get_insight_article, which would return full post content.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: an agent can infer it should search here first and then cite canonical URLs. There is no explicit 'use X instead when...' routing to get_insight_article for full text, nor any exclusion for when a direct lookup is better.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.